Sr. Data Scientist

As a highly motivated and experienced data scientist, you will lead a team of Gen-Ai Engineers involved in various processes from data extraction to deploying AI models to production. Your passion for artificial intelligence and staying up-to-date with the latest developments will be crucial in this role. Key Responsibilities: - Utilize frameworks like Langchain for developing scalable and efficient AI solutions. - Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. - Work closely with cross-functional teams to define problem statements and prototype solutions leveraging generative AI. - Ensure robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. - Explore and visualize data to gain an understanding of it, identify differences in data distribution that could affect model performance in the real world. - Oversee data-centered projects, verify data quality, ensure it via data cleaning, and supervise data acquisition process if more data is needed. - Find available datasets online for training, define validation strategies, feature engineering data augmentation pipelines on a given dataset. - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them. - Deploy models to production. Qualifications and Education Requirements: - Bachelors/Masters degree in computer science, data science, mathematics, or a related field. - 3-10 years of experience in building Gen-Ai applications. Preferred Skills: - Proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis. - Proficiency with deep learning frameworks like TensorFlow, PyTorch, and Keras. - Specialization in Deep Learning (NLP) and statistical machine learning. - Strong Python skills. - Experience with developing production-grade applications. - Familiarity with Langchain framework and vector databases like Azure Cognitive Search, Weavite, or Pinecone. - Understanding and experience with retrieval algorithms. - Worked on Big data platforms and technologies such as Apache Hadoop, Spark, Kafka, or Hive. - Familiarity with working and deploying applications on Ubuntu/Linux system. - Excellent communication, negotiation, and interpersonal skills.,